The investigator will seek to determine the feasibility of wearable biometric sensors to acquire high resolution biometric data, including heart rate and activity level (i.e. steps) for patients undergoing radiation therapy and surgery, with or without postoperative radiotherapy.
Active cancer treatment such as surgery, chemotherapy or radiotherapy can cause side effects or toxicities, which, if untreated, can lead to poorer quality of life, decreased patient well-being, and worse clinical outcomes. Routine monitoring of patients while under active treatment can entail the routine practice of clinic visits at regular intervals with the acquisition of vital signs, routine laboratory testing, patient-reported outcome surveys, and face-to-face interaction with their physician. In recent years, the availability of commercially-available wearable fitness sensors has allowed end-users to monitor their fitness progress and activity levels. These devices depend on small sensors that can collect minute-to-minute data on heart rate and activity level that may be transmitted to a smartphone or computer. Through this system, users can easily track and monitor their fitness progress. In this trial, the investigator will seek to determine the feasibility of wearable biometric sensors to acquire high resolution biometric data, including heart rate and activity level (i.e. steps) for patients undergoing radiation therapy and surgery, with or without postoperative radiotherapy. The investigator believe that changes in heart rate may predict for increasing pain, dehydration, and stress in general. Moreover, changes in daily step count are a surrogate for performance status on treatment, and the investigator will perform a series of preliminary analyses to assess whether there is validity to this hypothesis. The investigator hope to use biometric monitoring to identify patients at risk for adverse outcomes, with the ultimate goal of intervening before these outcomes occur.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Enrollment
53
A commercially-available wearable fitness sensor
University of Texas Southwestern Medical Center
Dallas, Texas, United States
Number of participants who could wear the device more than 90% of the time, of 23 hours a day, daily
To determine the feasibility of using a commercially-available wearable sensor to obtain biometric data for patients undergoing head and neck locoregional therapy throughout the duration of radiation treatment (cohorts A, B-RT) and throughout post-surgical recovery with or without adjuvant radiotherapy (cohort B)
Time frame: 3 months
Daily data acquisition rate
Percentage of successful data acquisition events as well as a retention rate of all enrolled participants.
Time frame: 3 months
Changes in daily steps taken
Data will be collected using the Fitbit device and aggregated using the Fitabase platform throughout the duration of radiation treatment (cohorts A, B-RT) and throughout post-surgical recovery with or without adjuvant radiotherapy (cohort B).
Time frame: 3 months
Changes in heart rate
Data will be collected using the Fitbit device and aggregated using the Fitabase platform throughout the duration of radiation treatment (cohorts A, B-RT) and throughout post-surgical recovery with or without adjuvant radiotherapy (cohort B).
Time frame: 3 months
Changes in sleep habits
Data will be collected using the Fitbit device and aggregated using the Fitabase platform throughout the duration of radiation treatment (cohorts A, B-RT) and throughout post-surgical recovery with or without adjuvant radiotherapy (cohort B).
Time frame: 3 months
Volume of intravenous fluids
To analyze associations between biometric parameters and complications and interventions by the volume of intravenous fluids required for patients undergoing radiation treatment (cohorts A, B-RT) and surgical recovery +/-adjuvant radiotherapy (cohort B).
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Time frame: 3 months
Days of inpatient hospitalization
To analyze associations between biometric parameters and complications and interventions days of inpatient hospitalization required for patients undergoing radiation treatment (cohorts A, B-RT) and surgical recovery +/-adjuvant radiotherapy (cohort B).
Time frame: 3 months
Changes in pain level
To analyze associations between biometric parameters and complications and interventions by changes in pain level of patients undergoing radiation treatment (cohorts A, B-RT) and surgical recovery +/-adjuvant radiotherapy (cohort B). Pain assessments are based on self-report. Pain scale from 0 no pain, 1-3 minor pain, 4-6 moderate pain to 7-10 severe pain.
Time frame: 3 months
Number of emergency department visits.
To analyze associations between biometric parameters and complications and interventions number of emergency department visits required for patients undergoing radiation treatment (cohorts A, B-RT) and surgical recovery +/-adjuvant radiotherapy (cohort B).
Time frame: 3 months
Utilization of pain medication
To analyze associations between biometric parameters and complications and interventions utilization of pain medication required for patients undergoing radiation treatment (cohorts A, B-RT) and surgical recovery +/-adjuvant radiotherapy (cohort B). Medication Quantification Scale (MQS) Version III will be used to determine drug detriment weight and dosage level.
Time frame: 3 months
Physical and mental well-being
To analyze associations between biometric parameters and patient-reported outcomes in regards to physical and mental well-being using the Functional Assessment of Cancer Therapy - General (FACT-G) Health Survey at each weekly scheduled visit to monitor for acute changes in their condition.
Time frame: 3 months
Sleep quality
To analyze associations between biometric parameters and patient-reported outcomes in regards to sleep quality using the Pittsburgh Sleep Quality Index (PSQI) The Pittsburgh Sleep Quality Index (PSQI) is a self-report questionnaire that assesses sleep quality over a 1-month time interval.
Time frame: 3 months